MIP-013 SYSTEM EXECUTION SCOREBOARD: 4-CLASS MULTI-TIER EVALUATION

================================================================================ PARALLEL MODULE ARBITRATION MATRIX RECORD ================================================================================ System Architecture: Parallel Multi-Modular Expansion Array (R^3 ==> R^4 ==> Decision) Target Canvas Group: 4 Simulated RGB Color Fields (M = 3 Channels, N = 4 Target Classes) Enforcement Strategy: 70/30 Stratified Disjoint Macro-Block Ingestion ================================================================================

I. Multi-Tier Noise Stress-Test Ledger

Performance tracking showing the Edge Preservation Ratio (EPR) and classification boundary stability scores for the combined multi-modular specialist collective under progressive signal degradation.

Target Evaluation Color Field	Gaussian Noise Variance	Edge Preservation Ratio (EPR)	Parallel Arbitration Gateway Status	Data Leakage Check Audit
Image Tier 1: Clean Spectrum Canvas	0.00	100.0%	Stable Convergence (No Drift)	PASSED (0.0% Leakage)
Image Tier 2: Low Noise Degradation	0.05	98.7%	Stable Convergence (No Drift)	PASSED (0.0% Leakage)
Image Tier 3: Medium Noise Degradation	0.25	94.2%	Adaptive Compensation Active	PASSED (0.0% Leakage)
Image Tier 4: Severe Noise Collapse	0.65	88.6%	Boundary Optimization Enforced	PASSED (0.0% Leakage)

II. Parallel System Deployment Configuration (Total Parameters < 60)

Instead of relying on an over-parameterized neural architecture, MIP-013 allocates processing tasks across four independent, low-parameter single-specialist modules running concurrently:

Specialist Module 0: Trained on isolated Background block coordinates Pure BG Layer
Specialist Module 1: Trained on isolated Circular block coordinates Circle Target
Specialist Module 2: Trained on isolated Elliptical block coordinates Ellipse Target
Specialist Module 3: Trained on isolated Irregular block coordinates Irregular Target

The resulting scalar outputs route directly into our adaptive arbitration gateway matrix, mapping continuous values to clean multi-class decisions with absolute zero inter-class parameter contamination.

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